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* Fix compilation issues with new build filesGravatar Sami Kama2018-01-29
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* [update]Gravatar Jie2018-01-29
| | | | | | | | | addressing: i. some naming conventions ii. add macro to guard cpp files TODO: cpplint
* Fix compilation, there are still linking issues which will be fixed in a ↵Gravatar gracehoney2018-01-29
| | | | followup commit.
* [UPDATE]Gravatar Jie2018-01-29
| | | | | | | | addressing code review comments. TODO: MACRO GOOGLE_TENSORRT to guard c++ files. build/test -> current code works on local repo before the master merge.
* Merge branch 'master' into tensorrtGravatar gracehoney2018-01-26
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| * Decoding contents of BMP file on big endian (#16145)Gravatar namrata-ibm2018-01-26
| | | | | | | | | | | | | | | | | | | | * Decoding contents of BMP file on big endian * Updated as per review comments * Update decode_bmp_op.cc Corrected function name
| * Update contrib/HVX readme (#16131)Gravatar Santiago Castro2018-01-26
| | | | | | | | | | | | * Update contrib/HVX readme * Fix PR comments
| * Fixing the url for the pip3. (#16447)Gravatar Keiji Ariyama2018-01-26
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| * Merge pull request #16457 from xiejw/branch_183374082Gravatar xiejw2018-01-26
| |\ | | | | | | Branch 183374082
| | * solve push conflictGravatar Jianwei Xie2018-01-26
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| | * Roll CL 179861781 forward with fix: Wrappers for CUDA 9 warp-synchronous ↵Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | | | | | | | intrinsics. PiperOrigin-RevId: 183374082
| | * Remove dead codeGravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183374040
| | * Fix override annotationsGravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183367326
| | * Fix checkpoint_utils.init_from_checkpoint() to be deterministic.Gravatar A. Unique TensorFlower2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183354193
| | * Set up TensorRT configurations for external use, and add a test.Gravatar Guangda Lai2018-01-26
| | | | | | | | | | | | PiperOrigin-RevId: 183347199
| | * Adds R1 test for ReduceWindow.Gravatar Tayo Oguntebi2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183345779
| | * Go: Update generated wrapper functions for TensorFlow ops.Gravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183342483
| | * For windows cmake build turn on CMAKE_SUPPRESS_REGENERATION to avoid flakyGravatar Gunhan Gulsoy2018-01-25
| | | | | | | | | | | | | | | | | | build failures. PiperOrigin-RevId: 183341561
| | * Clarified documentation on resize_images.align_corners parameter.Gravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183339087
| * | Hotfix/fix android example for focus mode continuous picture - #15487 (#15489)Gravatar Armando Fandango2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | * fixed #15487 * fixed #15487 * simplify and tweak formatting to TF style
| * | Updating error handling in normalize_tuple (#15822)Gravatar Luke Schaefer2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | On line 83 we test to see if single_value is an int (or able to be cast to an int). ValueError is fired if `int()` is called with an input like 'asdf' - this is caught and gives a helpful error, using the 'name' param to provide more context. However, when given an other than a string or int, this is *not* caught - making error messages much more esoteric than the helpful one written out here. For example, before, I was getting an error: > line 83, in normalize_tuple > int(single_value) > TypeError: int() argument must be a string or a number, not 'tuple' Now I get the more useful: > ValueError: The `kernel_size` argument must be a tuple of 2 integers. > Received: ((0, 3), 50) including element (0, 3) of type <type 'tuple'>
| * | Fix docstrings in `scan` (#16432)Gravatar Taehoon Lee2018-01-25
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| * | Increase tolerance on TFGAN losses test. fixes #16238 (#16435)Gravatar Joel Shor2018-01-25
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| | * Log more info about the ill-formed node in ComputeTransitiveFanin.Gravatar Max Galkin2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183333452
| | * internal changeGravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183333411
| | * [XLA] Add source mapping utility translation unit, use it in the local client.Gravatar Chris Leary2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183331075
| | * [tpu:profiler] Add infeed enqueue operation data to tf_op_stats.proto.Gravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183328456
| | * Update tf.keras to the Keras 2.1.3 API.Gravatar Francois Chollet2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183328052
| * | Including common.h with NEON_2_SSE.h (#15743)Gravatar Stanislav Levental2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Including common.h with NEON_2_SSE.h Including common.h to make sure that USE_NEON is defined in case of NEON_2_SSE.h is used; otherwise USE_NEON will not be propagated to this file and `portable_tensor_utils.h` will be used * Removing spaces * Using neon is USE_NEON is defined * Using common.h to set USE_NEON if applicable * Adding required dependencies Since tests are more likely compiled on sse4-enabled machine - if they are run with common.h - it will enable sse4, there are two ways - just enable it and let tests using sse4, or add extra flag check which would require USE_SSE4 flag to be defined. I've added all required dependencies for tests to pass, so it could work. * Rearranging dependencies according to linter * Fixing sanity check * trying to rerun, could be cached * Triggering build * triggering build - looks like it stuck no status for more than 24h * including x86_64 since NEON_2_SSE4 convertion will allow neon to run on x86 with SSE3,4 * Fixing name * using darwing for MacOS * Fixing header inclusion rules * Fix syntax * Depend on includes We depend on both types and compatibility. That's in the "types" rule.
| * | Fix typo (#16425)Gravatar ManHyuk2018-01-25
| | | | | | | | | | | | | | | | | | * fix typos * fix typos
| * | import contextmanager in side_effect_guards.py (#16426)Gravatar cclauss2018-01-25
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| | * Set size of test ↵Gravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | //third_party/tensorflow/python/data/kernel_tests:dataset_from_generator_op_test to medium It sometimes takes longer than a minute, and thus gets flaky timeouts. PiperOrigin-RevId: 183326334
| | * Allow passing dummy/custom minmax information on a per-array basis,Gravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | unlike the existing --default_ranges_{min,max} flags which only allowed to set a single global value for all arrays. This takes the form of a new embedded message in ModelFlags, which is its own message so that it can be serialized separately. The command-line interface is --arrays_extra_info_file=some_proto.pbtxt, i.e. we don't try to make a command-line-flags-only interface, we mandate putting the info in a file. The rationale is that users may want to specify custom minmax for hundreds of arrays, so it would be cumbersome to have that all in a command line. This should be considered an experimental feature, in the sense that in properly quantized models, minmax information is already embedded in the graph (e.g. in FakeQuant nodes). This is an extension of the existing --default_ranges_{min,max} feature which had turned out to be too restrictive for many users. PiperOrigin-RevId: 183326000
| | * Add input_shape to seq2seq helpers.Gravatar Adam Roberts2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183321394
| | * Replace instances of `control_dependencies(None)` with `init_scope` whenGravatar Akshay Agrawal2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | initializing variables. Today, when variables are constructed (Resource and otherwise), we lift certain operations, including the VarHandleOp and initialization ops, out of all control flow contexts; the mechanism for doing so is entering the context manager returned by `control_dependencies(None)`. This change replaces various instances of this mechanism with `init_scope`, which clears control dependencies, lifts ops out of function-building graphs, and pauses the gradient tape. As a result, variables that are created inside graph functions will be automatically hoisted into an outer context. PiperOrigin-RevId: 183320576
| | * Move flatbuffer verifier to a separate libGravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183318384
| | * Add an option to input a GraphDef.Gravatar Yao Zhang2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183317862
| | * Make kernel_tests/scalar_test.py work with the C API enabled.Gravatar Skye Wanderman-Milne2018-01-25
| | | | | | | | | | | | | | | | | | | | | This also moves the set_producer_version function from a specific test file to test_util.py, since it's needed in two test files now. PiperOrigin-RevId: 183316990
| | * [XLA] Disable half_test_cpu as it is flakyGravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183315762
| | * Record requested cpu cores in OpPerformance.Gravatar Yuefeng Zhou2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183313321
| | * Automated g4 rollback of changelist 183296506Gravatar Justin Lebar2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183312680
| | * Deleted unused data fieldsGravatar Benoit Steiner2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183312596
| * | import tensorflow as tf (#16318)Gravatar cclauss2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * import tensorflow as tf * import tensorflow as tf * from contextlib import contextmanager * remove the last remaining change to py2tf
| | * Make batch_sequences_with_states_test.py work with C API enabled, take 2.Gravatar Skye Wanderman-Milne2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | This fixes the original rollback by using placeholders for the SparseTensor shapes. The flakiness was caused by the nondeterministic ordering of the sequences dict. PiperOrigin-RevId: 183308774
| | * Show friendlier error message on failure in tf_optimizer.iGravatar Max Galkin2018-01-25
| | | | | | | | | | | | | | | | | | Without it we trigger a segmentation fault, but later in a different stack, which is not so helpful. PiperOrigin-RevId: 183307729
| | * In the TF cost model, ensure when id grows, records for each op's outputs ↵Gravatar Yuefeng Zhou2018-01-25
| | | | | | | | | | | | | | | | | | match the number of outputs. PiperOrigin-RevId: 183306267
| * | Implement LoggingAsync for GRPC Worker Services (#14604)Gravatar Sayed Hadi Hashemi2018-01-25
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * Implement LoggingAsync for GRPC Worker. * Add nullptr checks * Fix BUILD file format * Change LoggingAsync implementation - Revert changes to *_rendezvous_mgr - Implement logging primitives in session_mgr instead - Implement ClearLogs - Fixed C++ formating * Check for nullptr * Better handling of the case when both "clear" and "retrieve" flags are sent to "LogAsync." nullptr check on default_worker_cache_. * Fix formatting * Updata session_mgr.cc to address changes in 619792f
| * | add URLEncode for the CopyObjectRequest of S3 Rename function (#16415)Gravatar Jian Lin2018-01-25
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| * | Add missing library in Dockerfile (#16417)Gravatar Ashish Kumar Ram2018-01-25
| | | | | | | | | The local Dockerfile does not have all the dependencies for running the exercise notebooks in udacity assignments.
| | * Adds loss_fn argument in remaining heads.Gravatar A. Unique TensorFlower2018-01-25
| | | | | | | | | | | | PiperOrigin-RevId: 183301479
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